Bibliometric Analysis of E-waste Reverse Supply Chain Models in consideration of Risks and Uncertainties

Abstract

Electronic waste, or "E-waste," is becoming a bigger problem in the era of quickly advancing technology if disposal processes are not effectively controlled. E-waste is a rapidly expanding pollution issue since electronics contain a number of potentially hazardous materials which only results in increasing the harm that pollution is causing the environment. This paper studies the different practices implemented in reverse logistics model concerned with the management of E-waste in face of risks and uncertainties. To do this, a bibliometrics analysis was carried out across a number of disciplines to look at the current trends, wherein 1508 publications were discovered and examined. Through examination, the study ultimately compared four well-known fuzzy programming techniques while taking into account multiple-criteria decision-making (MCDM). The findings demonstrated how several approaches were used to address the similar issues in order to achieve sustainable development, whereby different publications had different results concerning the most important pillars. However, risks and uncertainties that need to be given additional thought could affect the expert's performance. Practically, different combinations of the strategies can be scaled to apply to various sectors while taking into account the different pillars more specifically for each industry.

Date of Award	Dec 2022
Original language	American English
Supervisor	Mohammad Omar (Supervisor)